Analysis of COVID-19 Data for the State Of Ohio

Disclaimer:

• This is a personel project,
• I am not a employee of the state of Ohio.
• I am not employed in either the medical or data sceince fields.

Data Source: NY Times

• GitHub: https://github.com/nytimes/covid-19-data.git

# 
# state_date <- oh_state %>% group_by(county,date) %>% 
#   summarise(Cases=sum(cases),   Deaths = sum(deaths),                               
#    DeathRate = Deaths/Cases)

Ohio Totals for Cases, Deaths by Date

gg1 <- buckeye %>% ggplot() + 
  geom_col(aes(x=date,y=daily_cases)) + 
     labs(title="Ohio Cases by Date",y="Daily Cases (log10)") + scale_y_log10()

## Warning: Transformation introduced infinite values in continuous y-axis

## Warning: Removed 1 rows containing missing values (position_stack).

## Warning: Transformation introduced infinite values in continuous y-axis

## Warning: Removed 1 rows containing missing values (position_stack).

Ohio Accumulated Totals for Cases, Deaths by Date and County

buckeye %>% ggplot() +
  geom_col(aes(x=date,y=Cases)) + 
     labs(title="Ohio Accumulated Cases by Date",x="Date",y="Accumulated Cases(log10)") +
     scale_y_log10(labels = scales::comma) + geom_smooth(aes(x=date,y=Cases))

## `geom_smooth()` using method = 'loess' and formula 'y ~ x'

buckeye %>% ggplot() +
  geom_col(aes(x=date,y=Deaths)) + 
     labs(title="Ohio Accumulated Deaths by Date",x="Date",y="Accumulated Cases(log10)") +
     scale_y_log10(labels = scales::comma) + geom_smooth(aes(x=date,y=Deaths))

## Warning: Transformation introduced infinite values in continuous y-axis

## Warning: Transformation introduced infinite values in continuous y-axis

## `geom_smooth()` using method = 'loess' and formula 'y ~ x'

## Warning: Removed 11 rows containing non-finite values (stat_smooth).

## Warning: Removed 11 rows containing missing values (geom_col).